Android OS Mobile Technologies Meets Robotics for Expandable, Exchangeable, Reconfigurable, Educational, STEM-Enhancing, Socializing Robot

Fachantidis, Nikolaos; Dimitriou, Antonis G.; Pliasa, Sofia; Dagdilelis, Vassilios; Pnevmatikos, Dimitris; Perlantidis, Petros; Papadimitriou, Alexis

doi:10.1007/978-3-319-75175-7_48

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…This is an indication that the suggested design principles are in alignment with the existed literature. Scholars, however, suggested solutions for the educational robots that are not constrained by the on-board intelligence using the cloud as a part of SAR's brain [46], exploiting mobile devices [66], or using both online and offline social networking sites in their interactions with the users [47], ideas that our stakeholders did not suggest. Nevertheless, the stakeholders suggested additional dimensions like the need for a user-friendly artefact.…”

Section: Discussionmentioning

confidence: 99%

Designing a Socially Assistive Robot for Education Through a Participatory Design Approach: Pivotal Principles for the Developers

Pnevmatikos

Fachantidis

2021

Int J of Soc Robotics

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Designing socially assistive robots (SARs) for educational purposes can be a challenging task for developers. Developers need to identify the combination of a particular set of features to include in the design of a SAR. Participatory design approaches can be a promising solution since stakeholders can suggest, through their involvement, the requirements that could meet their needs and expectations. Still, such approaches for designing a SAR for education are scattered and bewildering, focusing on aspects of the robot such as the role or the appearance. The current study aimed to map stakeholders' requirements regarding the design of a SAR exploited for educational purposes as well as to provide a set of guiding design principles for developers. A qualitative focus group discussion took place, and the participants were 127 (65 were female) stakeholders from five European countries, representing various affiliations in the field of education. A deductive qualitative content analysis approach revealed 121 themes of analysis, which fitted into 11 theory-driven categories regarding the use of the SARs in the class settings, their appearance, and their voice commands. Additionally, 46 themes of analysis were classified under five new categories following an inductive approach. The results of the deductive and inductive content analysis were further exploited in two Two-Step Cluster Analyses. The analyses revealed five tentative combinations of the dimensions exploited for the design of a SAR sketched by education stakeholders. The findings of the current study are discussed, providing pivotal guiding principles for the developers of SARs for education.

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Section: Discussionmentioning

confidence: 99%

Designing a Socially Assistive Robot for Education Through a Participatory Design Approach: Pivotal Principles for the Developers

Pnevmatikos

Fachantidis

2021

Int J of Soc Robotics

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“…There are many types of educational robotics for STEM is reviewed in the paper [7] such as Do It Yourself (DIY) robots, Open hardware robots, Brick-based robots, preassembled robots, only for simple actions or specific purpose robots, Humanoid robots, Robots-based on tangible programming. However, the integration of the Android screen that allows users to interact directly is still limited.…”

Section: Introductionmentioning

confidence: 99%

Mobile robot: automatic speech recognition application for automation and STEM education

Tran

Truong²,

2023

Soft Comput

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Nowadays, Robots are widely applied in life as well as industrial production, medicine, rescue, learning and entertainment. There are many types of robots using different modern technologies that are divided into groups such as Robot Manipulator, Movement Robot, Biomimetic robot, each type is applied according to its own role. Robots are also applied in training, especially in STEM training. In this paper, we propose technical models to design Mobile Robot combined with Android OS Tablet with user interaction screen, voice control model and AIDL IPC interactive model for remote control. Mobile Robot's motion as well as giving a layered UML Model for motion handling towards open source. We research the Mobile Robot using RockChip AI Processor RK3399Pro, which focuses on understanding the structure and operating mechanism of the AI Processor that RockChip Robot uses, along with researching Android with IPC AIDL architecture and with Automatic Voice Recognition technology to control Robot to turn left, turn right, move forward, backward, jump or stop motion by voice with three languages: Korean, English and Vietnamese. From there, it will serve as a foundation for the research and development of a system to support students in learning by interacting with robots through voice in the form of gamification of the curriculum, especially for extensive research on training programs, created in the STEM field.

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Promoting Critical Thinking Dispositions in Children and Adolescents Through Human-Robot Interaction with Socially Assistive Robots

Pnevmatikos

Fachantidis

2019

Communications in Computer and Information Science

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Android OS Mobile Technologies Meets Robotics for Expandable, Exchangeable, Reconfigurable, Educational, STEM-Enhancing, Socializing Robot

Cited by 7 publications

References 12 publications

Designing a Socially Assistive Robot for Education Through a Participatory Design Approach: Pivotal Principles for the Developers

Designing a Socially Assistive Robot for Education Through a Participatory Design Approach: Pivotal Principles for the Developers

Mobile robot: automatic speech recognition application for automation and STEM education

Promoting Critical Thinking Dispositions in Children and Adolescents Through Human-Robot Interaction with Socially Assistive Robots

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